""" Copyright (c) 2019 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import networkx as nx from extensions.ops.argmax import ArgMaxOp from mo.front.common.replacement import FrontReplacementSubgraph from mo.front.onnx.extractors.utils import onnx_attr from mo.graph.graph import Graph from mo.ops.squeeze import Squeeze class Argmax(FrontReplacementSubgraph): enabled = True def pattern(self): return dict( nodes=[('argmax', dict(op='ArgMax', keepdims=0))], edges=[] ) def replace_sub_graph(self, graph: Graph, match: dict): """ In ONNX ArgMax operation has keepdims attribute that indicates whether to stay a dimension along which maximum is computed or not. In case of keepdims=0 this dimension should be removed but ArgMax operation in IR format is not designed to cover this case. So we should additionally add Squeeze operation right after ArgMax for this case. """ argmax_node = match['argmax'] axis = argmax_node.axis squeeze_node = Squeeze(graph, {'squeeze_dims': [axis]}).create_node() argmax_node.out_port(0).get_connection().set_source(squeeze_node.out_port(0)) squeeze_node.in_port(0).connect(argmax_node.out_port(0))